Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Conference Object Evaluating Adoption Factors for Robotic-Assisted Surgery With the Analytical Hierarchical Process(Institute of Electrical and Electronics Engineers Inc., 2024) Dindaroğlu, Burak; Dindaroglu,B.; Aytac,E.; 01. Izmir Institute of Technology; 01.01. Units Affiliated to the RectorateThe objective of this master's dissertation is to evaluate adoption factors for robotic-assisted surgery (RAS) using the Analytical Hierarchy Process (AHP) as its evaluation methodology. Robotic-assisted surgery is used in various surgical fields. It is mainly used as a tool in numerous disciplines' minimally invasive surgery procedures (MIS). Since it has so many different application areas and actors, the determination of its adoption factors and evaluation process of these factors' priorities for surgeons is a highly complex issue that includes multicriteria of decision-making and numerous surgeons. A comprehensive list of these possible adoption factors recognized by conducting an extensive literature review, was picked and chosen. First, we had 310 factors mentioned in the literature that have a potential impact on the adoption process of the RAS. We have reduced these to 20 factors that are categorized under five different main criteria. By this, a unique AHP tree that is this thesis' contribution to the literature was developed. The research data was collected by an online survey from the surgeons of various disciplines working in Türkiye. Our final sample to evaluate priorities consisted of forty-one surgeon responses in total. The evaluation process consists of three steps: analyzing individual-based pairwise comparison matrices, their consistency rations, and their priority vectors. We executed the same workflow for the aggregated analysis for disciplined-based and all aggregation. Results are examined in detail and concluded with insightful interpretations. © 2024 PICMET.Conference Object Forecasting Turkey Electricity Prices by Alpha-Stableperiodic Autoregressive Time Series(Institute of Electrical and Electronics Engineers Inc., 2023) Savacı, Ferit Acar; Tamci,E.; 01. Izmir Institute of Technology; 03.05. Department of Electrical and Electronics Engineering; 03. Faculty of EngineeringFinite variance Gaussian time series are insufficient in forecasting irregular and sudden changes in electricity production and consumption due to the complexity of today's power grids. Such Levy type fluctuations in the generation and/or consumption of electricity might inevitably result in the impulsive behavior in the electricity prices. For this reason, using the alpha-stable time series (alpha(α)-stable Levy process), which have infinite variance and heavy-tailed distributions will be a more appropriate model for price forecasting. In this study, we have tested the alpha-stablePeriodic Autoregressive (PAR) time series with real data obtained from TURKISH MARKET & FINANCIAL SETTLEMENT CENTER (EPIAŞ) electricity prices and have compared this model with previously made forecasting stochastic models such as Gaussian-driven Autoregressive (AR). Our findings not only demonstrated the effectiveness of the alpha-stablePAR time series method in estimating electricity prices but also highlighted its superiority over the Gaussian-driven AR model for Turkish electricity prices. © 2023 IEEE.Conference Object Citation - Scopus: 1Fiber Bragg Grating Sensors in Industrial Heating Systems(Institute of Electrical and Electronics Engineers Inc., 2023) Yüksel Aldoğan, Kıvılcım; Durak,B.; Yuksel,K.; Merdin,M.; Merdin,O.D.; Kinet,D.; Caucheteur,C.; 01. Izmir Institute of Technology; 03.05. Department of Electrical and Electronics Engineering; 03. Faculty of EngineeringThis paper presents the sensor development and calibration stages of a novel monitoring platform that is designed for industrial microwave ovens. The monitoring unit is based on fiber Bragg grating sensors providing 2D quasi-distributed temperature measurement inside a high microwave power environment. We discussed the main design issues and experimentally demonstrated the sensor calibration set-up. Repeatability measurements highlighted a standard deviation on the sensitivity values smaller than 0.4 pm/°C. © 2023 IEEE.Conference Object Citation - Scopus: 4Real Time Computer Vision Based Robotic Arm Controller With Ros and Gazebo Simulation Environment(Institute of Electrical and Electronics Engineers Inc., 2023) Erol, Berat Alper; Gümüş, Abdurrahman; Erol,B.A.; Gumus,A.; 01. Izmir Institute of Technology; 03.05. Department of Electrical and Electronics Engineering; 03.04. Department of Computer Engineering; 03. Faculty of EngineeringRobotic arms are widely prevalent and find utility in a variety of applications. However, a significant and widespread challenge faced by these arms is their inability to replicate the intricate functionalities of a human hand, primarily due to the distinct structure of the hand. The primary objective of this work is to create a simulation of a robotic arm that can replicate the movements and functions of a human hand in real-time. Data obtained from hand and arm gestures created with Mediapipe will be transferred in real-time to the robotic arm that is visualized and simulated on ROS and Gazebo. Thus, the hand and arm movements of the user in front of the camera will be effective in real-time on the manipulable joints. This advancement holds the potential to facilitate the construction of a robot capable of emulating both the hand and the arm of humans with high fidelity, thereby enabling comprehensive control over the robotic arm's actions in real-time. © 2023 IEEE.